ArticleProteomics2016
Exome-based proteogenomics of HEK-293 human cell line: Coding genomic variants identified at the level of shotgun proteome.
Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 27 citations in OpenAlex.
- Finding haplotypic signatures in proteins.GigaScience · 2022Article
- Multiaspect Examinations of Possible Alternative Mappings of Identified Variant Peptides: A Case Study on the HEK293 Cell Line.ACS omega · 2022Article
- Cytotoxic and Apoptotic Effects of Celecoxib and Topotecan on AGS and HEK 293 Cell Lines.Journal of gastrointestinal cancer · 2022Article
- Proteomes Are of Proteoforms: Embracing the Complexity.Proteomes · 2021Review
- Proteomics Pipeline for Identifying Variant Proteins inJournal of proteome research · 2019Article
- The Effect of Bacterial Peptide p28 on Viability and Apoptosis Status of P53-null HeLa Cells.Advanced pharmaceutical bulletin · 2019Article
- Integration of large-scale multi-omic datasets: a protein-centric view.Current opinion in systems biology · 2018Article
Corrections and comments
- Erratum issuedErrata.2016
Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic and proteomic data were integrated into the proteogenomic workflow to identify coding genomic variants of Human Embryonic Kidney 293 (HEK-293) cell line at the proteome level. Shotgun proteome data published by Geiger et al. (2012), Chick et al. (2015), and obtained in this work for HEK-293 were searched against the customized genomic database generated using exome data published by Lin et al. (2014). Overall, 112 unique variants were identified at the proteome level out of ∼1200 coding variants annotated in the exome. Seven identified variants were shared between all the three considered proteomic datasets, and 27 variants were found in any two datasets. Some of the found variants belonged to widely known genomic polymorphisms originated from the germline, while the others were more likely resulting from somatic mutations. At least, eight of the proteins bearing amino acid variants were annotated as cancer-related ones, including p53 tumor suppressor. In all the considered shotgun datasets, the variant peptides were at the ratio of 1:2.5 less likely being identified than the wild-type ones compared with the corresponding theoretical peptides. This can be explained by the presence of the so-called "passenger" mutations in the genes, which were never expressed in HEK-293 cells. All MS data have been deposited in the ProteomeXchange with the dataset identifier PXD002613 (http://proteomecentral.proteomexchange.org/dataset/PXD002613).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.